springboot 自动重连oracle库,并且设置重连次数
时间: 2023-07-22 21:21:53 浏览: 317
Oracle服务自动重启
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要实现Spring Boot自动重连Oracle库,可以使用Spring提供的DataSource自动重连机制,具体步骤如下:
1. 在application.properties中配置Oracle数据库连接信息,包括数据库URL、用户名和密码。
2. 在application.properties中配置数据源连接池的参数,包括最大连接数、最小连接数、连接超时时间等。
3. 在Spring Boot应用程序的启动类上添加@EnableAutoConfiguration注解,启用自动配置功能。
4. 创建一个Spring Bean,继承自org.springframework.jdbc.datasource.DriverManagerDataSource类,并重写getConnection方法,在该方法中实现数据库连接的自动重连机制。
5. 在getConnection方法中,使用try-catch语句块来捕获SQLException异常,并在其中添加重连逻辑。可以设置重连次数和重连间隔时间,当重连次数达到指定次数或连接成功时,退出重连循环。
下面是一个示例代码,演示如何实现Spring Boot自动重连Oracle库。
```
@Configuration
public class OracleDataSourceConfig {
@Value("${oracle.url}")
private String url;
@Value("${oracle.username}")
private String username;
@Value("${oracle.password}")
private String password;
@Value("${oracle.maxActive}")
private int maxActive;
@Value("${oracle.minIdle}")
private int minIdle;
@Value("${oracle.maxWait}")
private int maxWait;
@Value("${oracle.validationQuery}")
private String validationQuery;
@Value("${oracle.testWhileIdle}")
private boolean testWhileIdle;
@Value("${oracle.timeBetweenEvictionRunsMillis}")
private int timeBetweenEvictionRunsMillis;
@Value("${oracle.minEvictableIdleTimeMillis}")
private int minEvictableIdleTimeMillis;
@Bean
public DataSource dataSource() {
DriverManagerDataSource dataSource = new DriverManagerDataSource();
dataSource.setDriverClassName("oracle.jdbc.driver.OracleDriver");
dataSource.setUrl(url);
dataSource.setUsername(username);
dataSource.setPassword(password);
dataSource.setConnectionProperties("oracle.net.CONNECT_TIMEOUT=5000");
dataSource.setMaxActive(maxActive);
dataSource.setMinIdle(minIdle);
dataSource.setMaxWait(maxWait);
dataSource.setValidationQuery(validationQuery);
dataSource.setTestWhileIdle(testWhileIdle);
dataSource.setTimeBetweenEvictionRunsMillis(timeBetweenEvictionRunsMillis);
dataSource.setMinEvictableIdleTimeMillis(minEvictableIdleTimeMillis);
return dataSource;
}
@Bean
public JdbcTemplate jdbcTemplate() {
return new JdbcTemplate(dataSource());
}
@Bean
public PlatformTransactionManager transactionManager() {
return new DataSourceTransactionManager(dataSource());
}
@Bean
public SqlSessionFactoryBean sqlSessionFactory() throws Exception {
SqlSessionFactoryBean sessionFactory = new SqlSessionFactoryBean();
sessionFactory.setDataSource(dataSource());
sessionFactory.setMapperLocations(new PathMatchingResourcePatternResolver().getResources("classpath*:mapper/*.xml"));
return sessionFactory;
}
/**
* 自动重连Oracle数据库
*/
@Bean
public DataSource dataSourceWithRetry() {
RetryDataSource retryDataSource = new RetryDataSource();
retryDataSource.setDriverClassName("oracle.jdbc.driver.OracleDriver");
retryDataSource.setUrl(url);
retryDataSource.setUsername(username);
retryDataSource.setPassword(password);
retryDataSource.setMaxActive(maxActive);
retryDataSource.setMinIdle(minIdle);
retryDataSource.setMaxWait(maxWait);
retryDataSource.setValidationQuery(validationQuery);
retryDataSource.setTestWhileIdle(testWhileIdle);
retryDataSource.setTimeBetweenEvictionRunsMillis(timeBetweenEvictionRunsMillis);
retryDataSource.setMinEvictableIdleTimeMillis(minEvictableIdleTimeMillis);
retryDataSource.setRetryCount(3);
retryDataSource.setRetryInterval(3000);
return retryDataSource;
}
private static class RetryDataSource extends DriverManagerDataSource {
private int retryCount = 3;
private long retryInterval = 3000;
@Override
public Connection getConnection() throws SQLException {
int count = 0;
while (count < retryCount) {
try {
return super.getConnection();
} catch (SQLException e) {
if (count == retryCount - 1) {
throw e;
}
count++;
try {
Thread.sleep(retryInterval);
} catch (InterruptedException ignored) {
}
}
}
return null;
}
public void setRetryCount(int retryCount) {
this.retryCount = retryCount;
}
public void setRetryInterval(long retryInterval) {
this.retryInterval = retryInterval;
}
}
}
```
在上述代码中,我们创建了一个RetryDataSource类,继承自DriverManagerDataSource类,并重写getConnection方法,在该方法中实现了自动重连逻辑。在dataSourceWithRetry方法中,我们创建了一个RetryDataSource对象,并设置了重连次数和重连间隔时间,最后返回该对象作为数据源。这样就实现了Spring Boot自动重连Oracle数据库的功能。
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